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Премиум
  • Урок 1. 00:22:04
    1. Introduction to Artificial Intelligence
  • Урок 2. 00:20:41
    2. Demo Introduction to Artificial Intelligence
  • Урок 3. 00:25:11
    3. Demo Model Evaluation
  • Урок 4. 00:24:31
    4. Demo Perceptron
  • Урок 5. 00:07:13
    01. Overview of Data Science
  • Урок 6. 00:06:05
    02. Overview of Data Analytics
  • Урок 7. 00:46:49
    03. Demo Overview of Data Analytics
  • Урок 8. 00:11:01
    04. Statistical Analysis and Business
  • Урок 9. 00:41:49
    05. Demo Statistical Analysis and Business
  • Урок 10. 00:02:15
    06. Python Environment Setup and Essentials
  • Урок 11. 00:12:01
    07. Mathematical Computing with Python
  • Урок 12. 00:22:16
    08. Demo Mathematical Computing with Python
  • Урок 13. 00:09:18
    09. Scientific Computing with Python
  • Урок 14. 00:18:14
    10. Demo Scientific Computing with Python
  • Урок 15. 00:04:25
    11. Data Manipulation with Pandas
  • Урок 16. 00:26:34
    12. Demo Data Manipulation with Pandas
  • Урок 17. 00:07:45
    13. Machine Learning with Scikit-Learn
  • Урок 18. 00:02:52
    14. Natural Language Procssing with Scikit Learn
  • Урок 19. 00:04:19
    15. Data Visualization in Python using Matplotlib
  • Урок 20. 00:05:32
    16. Web Scraping with BeautifulSoup
  • Урок 21. 00:05:32
    17. Python Integration with Hadoop MapReduce and Spark
  • Урок 22. 00:09:40
    01. Overview of Machine Learning
  • Урок 23. 00:11:39
    02. Data Preprocessing
  • Урок 24. 00:45:53
    03. Demo Data Preprocessing
  • Урок 25. 00:07:15
    04. Supervised Learning
  • Урок 26. 00:26:11
    05. Demo Regression
  • Урок 27. 00:02:34
    06. Feature Engineering
  • Урок 28. 00:23:16
    07. Demo Feature Engineering
  • Урок 29. 00:09:46
    08. Supervised Learning Classification
  • Урок 30. 00:43:31
    09. Demo Classification
  • Урок 31. 00:03:30
    10. Unsupervised Learning
  • Урок 32. 00:02:45
    11. Time Series Modeling
  • Урок 33. 00:06:33
    12. Ensemble Learning
  • Урок 34. 00:07:14
    13. Recommender Systems
  • Урок 35. 00:10:16
    14. Text Mining
  • Урок 36. 00:35:59
    1. Deep Learning with Keras and TensorFlow
  • Урок 37. 00:20:12
    2. Demo Introduction to Deep Learning
  • Урок 38. 00:13:31
    3. Convolution Network
  • Урок 39. 00:28:33
    4. Demo Convolutional Network
  • Урок 40. 00:16:27
    5. Recurrent Neural Network
  • Урок 41. 00:38:03
    6. Demo Recurrent Neural Network
  • Урок 42. 00:02:14
    7. Restricted Boltzmann Machine (RBM)
  • Урок 43. 00:02:04
    8. Autoencoders